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Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches
Health and FitnessJournal of Exposure Science & Environmental Epidemiology

Socioexposomics of COVID-19 across New Jersey: a comparison of geostatistical and machine learning approaches

X. Ren, Z. Mi, et al.

This groundbreaking study explores how socioexposomic factors relate to COVID-19 outcomes in New Jersey, revealing strong connections between mortality rates and factors like NO2 exposure and population density. Conducted by Xiang Ren, Zhongyuan Mi, and Panos G. Georgopoulos, this research uncovers insights that could reshape public health strategies.... show more
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